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- Tasks: Design and deliver innovative ML solutions for top-tier clients in a dynamic environment.
- Company: Join a rapidly growing company focused on cutting-edge AI and ML projects.
- Benefits: Enjoy flexible working, generous holidays, excellent healthcare, and career development opportunities.
- Why this job: Work with the latest tech on impactful projects while enjoying a supportive company culture.
- Qualifications: Strong ML knowledge, Python proficiency, and experience with cloud deployments are essential.
- Other info: This hybrid role includes occasional travel and social meetups to foster team spirit.
The predicted salary is between 43200 - 72000 £ per year.
Are you an experienced Machine Learning Engineer looking to work on cutting-edge cloud projects for prestigious clients? This organization has experienced continual strong growth since its founding. This exciting role involves designing, building, and delivering complex new solutions within a new function focused on AI and ML.
Benefits
- Along with a highly competitive salary, you will enjoy a comprehensive benefits package and work for an employee-centric organization that values the well-being of its employees, both personally and professionally.
- Generous holiday allowance
- Flexible working options
- Excellent Healthcare and Pension Scheme
- Opportunities for career development and progression with support
- Performance Bonus
About the role
As a mid-to-senior level Machine Learning Engineer, you will create ML models for deployment in the cloud and support Data Engineering, DataOps, and DevOps teams. You will work with the latest technology on highly visible, large-scale projects.
What you’ll bring to the role
- Strong grounding in ML approaches, techniques, and frameworks
- Proficiency in Python, Pandas, TensorFlow, Scikit-learn, Numpy, SciPy
- Experience deploying models to the cloud and working with Azure (Azure DevOps, Azure ML, Azure SQL, ADF, etc.)
- Ability to work with databases such as SQL Server, NoSQL, etc.
- Experience with ETL processes, data pipelines, and DevOps practices
This role is hybrid, requiring occasional presence in one of their UK offices in Scotland or England to maintain company culture through social meetups. You will also travel occasionally to visit clients.
Please apply today for immediate consideration.
Bright Purple is an equal opportunities employer: we are proud to work with clients who share our values of diversity and inclusion in our industry.
Machine Learning Engineer (Reading) employer: Bright Purple
Contact Detail:
Bright Purple Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer (Reading)
✨Tip Number 1
Familiarise yourself with the latest trends in machine learning and cloud technologies. Being able to discuss recent advancements or projects you've worked on can really impress during interviews.
✨Tip Number 2
Network with professionals in the field, especially those who work with Azure and machine learning. Attend meetups or webinars to connect with potential colleagues and learn about their experiences.
✨Tip Number 3
Prepare to demonstrate your technical skills through practical assessments or coding challenges. Brush up on Python and relevant ML frameworks, as you may be asked to solve problems on the spot.
✨Tip Number 4
Showcase your experience with data pipelines and ETL processes. Be ready to discuss specific projects where you implemented these practices, as they are crucial for the role.
We think you need these skills to ace Machine Learning Engineer (Reading)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with machine learning techniques, frameworks, and cloud deployment. Use specific examples that demonstrate your proficiency in Python, TensorFlow, and Azure.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention how your skills align with their needs, particularly in ML model deployment and collaboration with DataOps and DevOps teams.
Showcase Relevant Projects: If you have worked on relevant projects, include them in your application. Describe your role, the technologies used, and the impact of your work, especially in relation to cloud solutions and data pipelines.
Proofread Your Application: Before submitting, carefully proofread your application for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial for a technical role like this.
How to prepare for a job interview at Bright Purple
✨Showcase Your Technical Skills
Be prepared to discuss your experience with machine learning frameworks like TensorFlow and Scikit-learn. Bring examples of projects where you've successfully deployed models to the cloud, particularly using Azure services.
✨Understand the Company’s Focus
Research the organisation's recent projects and their approach to AI and ML. This will help you tailor your responses and demonstrate your genuine interest in their work and culture.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills in real-world scenarios. Think about challenges you've faced in previous roles and how you overcame them, especially in relation to data pipelines and ETL processes.
✨Emphasise Collaboration and Communication
Since this role involves working with Data Engineering, DataOps, and DevOps teams, highlight your ability to collaborate effectively. Share examples of how you've communicated complex technical concepts to non-technical stakeholders.
